Data Engineer - EU

Amsterdam, NH Netherlands

Born from the desire to create adventure and community, SUPER73 is an American lifestyle adventure brand fusing motorcycle heritage and youth culture.  

We are a group of creators, adventurers, builders, thinkers, innovators, dreamers, and most importantly, doers who believe that the whole of our efforts far outweigh the sum of our parts. This is not for the faint of heart. We work hard, we move fast, and we are on a mission. For us, this is not a job, this is an opportunity to merge passion and career to compete in a new emerging global industry. 


SUPER73 is hiring a Data Engineer to work remotely in Amsterdam, Netherlands

The purpose of this position is to integrate the various enterprise applications within the organization by creating and maintaining data pipelines, ETL workflows, and reports.

You are passionate about all things data. The ideal candidate has a strong analytical and problem solving skills. Focused on developing high quality, robust, extendable and secure date. You are a highly motivated team player and are able to build partnerships with all the stakeholders.


  • This role serves the critical function of integrating the data from our enterprise applications and other related systems and turning them into useful insights
  • Build data pipelines to integrate enterprise apps/ ERP data and move it to our operational data store and data warehouse
  • Integrate data flows between enterprise applications and build reports for data reconciliation and exception handling
  • Support, maintain, and enhance our operational data models and ensure reliability and availability of the system
  • Partner across business units and tech teams to understand business requirements and convert them into data solutions aligned with our enterprise architecture and business objectives
  • Determine and communicate the technical design to the development team and be responsible for the timed and quality delivery of the data solutions
  • Work with the enterprise application leadership to determine data strategy, document data engineering processes and align processes to industry best practices


  • 5+ years of software or data engineering experience
  • Strong SQL skills
  • High proficiency in python: ability to write scripts for ETL workflows, make API calls, create Lambda functions etc.
  • Experience with the AWS ecosystem related to data ingestion, data storage, and reporting (Lambda, glue, kinesis, s3, redshift etc.)
  • Knowledge of middleware solution like MuleSoft a plus
  • Experienced in dash-boarding tools like Tableau etc. a plus


  • Ability to grow quickly in a fast-paced start-up company
  • Monthly team breakfast and occasional team lunch
  • Joining a fun, young team of internationals
  • Employee discounts and benefits